Efficient steganalysis of images: learning is good for anticipation

Ziou, Djemel; Jafari, Reza

doi:10.1007/s10044-012-0303-9

Cited by 10 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both spatial- and frequency-based methods have separate specifications. For example, the spatial steganography methods deal with hiding large capacity of secret information and high quality of stego images; however, these methods may not qualify the statistical test for steganalysis [23]. On the contrary, frequency-based methods are typically developed in watermarking application due to their robustness against the attacks of image distortion [24, 25].…”

Section: Introductionmentioning

confidence: 99%

Data hiding technique in steganography for information security using number theory

Rehman

Saba

Mahmood

et al. 2018

Journal of Information Science

View full text Add to dashboard Cite

In the current era, due to the widespread availability of the Internet, it is extremely easy for people to communicate and share multimedia contents with each other. However, at the same time, secure transfer of personal and copyrighted material has become a critical issue. Consequently, secure means of data transfer are the most urgent need of the time. Steganography is the science and art of protecting the secret data from an unauthorised access. The steganographic approaches conceal secret data into a cover file of type audio, video, text and/or image. The actual challenge in steganography is to achieve high robustness and capacity without bargaining on the imperceptibility of the cover file. In this article, an efficient steganography method is proposed for the transfer of secret data in digital images using number theory. For this purpose, the proposed method represents the cover image using the Fibonacci sequence. The representation of an image in the Fibonacci sequence allows increasing the bit planes from 8-bit to 12-bit planes. The experimental results of the proposed method in comparison with other existing steganographic methods exhibit that our method not only achieves high embedding of secret data but also gives high quality of stego images in terms of peak signal-to-noise ratio (PSNR). Furthermore, the robustness of the technique is also evaluated in the presence of salt and pepper noise attack on the cover images.

show abstract

Section: Introductionmentioning

confidence: 99%

Data hiding technique in steganography for information security using number theory

Rehman

Saba

Mahmood

et al. 2018

Journal of Information Science

View full text Add to dashboard Cite

show abstract

“…From the user's point of view, steganalysis must meet the following requirements (Ziou and Jafari, 2014):…”

Section: Goals Of Any Image Steganalysis Techniquementioning

confidence: 99%

“…The person's head was then shaved again at the receiver's side to get the hidden message. Among other historical uses of steganography, there are messages hidden on hard-boiled eggs by writing on their shells using a vinegar solution, and minute changes in the handwriting of characters or in their spacing (Ziou and Jafari, 2014). During World War II, many invisible inks were used.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of image steganalysis techniques and future research directives

Pathak

Roy

Changder

2018

IJICS

View full text Add to dashboard Cite

Steganography is a technique of hiding information imperceptibly inside other medium so that the very fact of communication taking place remains hidden. Recently, the reach of internet has extensively widened through social networking and blogging websites and a high amount of digital media interchange, especially in the form of digital images is being witnessed. This poses a huge threat to security from hackers and terrorists, as this medium can be used for covert communication, thus justifying the need for good steganalysis techniques to detect the existence of hidden messages in digital images. This paper analyses some steganalysis techniques which attack various kinds of spatial domain steganography techniques. Some of them are chi-square attack, triples analysis, sample pair analysis, TPVD steganalysis and analysis of adjacent pixel pair steganalysis. This paper also identifies the current research challenges and discusses possible directions for future research in this field.

show abstract